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At GitHub Universe 2026, GitHub announced that by migrating to Microsoft Azure, separating compute from storage, and changing write-lock granularity from repository to branch, it will achieve up to a 180x throughput increase early next year. In testing, 5,000 AI agents worked in parallel in the same repository, handling 7,200 writes per second, whereas the old architecture's per-repository push limit was on the order of dozens per second. Jay Parikh, Microsoft CoreAI Executive Vice President, said that this year it has already scaled up 4 million CPU cores, 160 PB of storage, and 50 Tb/s of network bandwidth, and that all users will be migrated to the new architecture early next year.
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GitHub Plans to Achieve 180x Throughput Improvement by Early Next Year to Support AI AgentsDevelopments
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GitHub announces it will achieve a 180x throughput improvement
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Nov 3
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GitHub Plans to Achieve 180x Throughput Improvement by Early Next Year to Support AI Agents
At GitHub Universe 2026, GitHub announced that by migrating to Microsoft Azure, separating compute from storage, and changing write lock granularity from repository-level to branch-level, it will achieve up to a 180x throughput improvement by early next year. In testing, 5,000 AI agents worked in parallel in the same repository, processing 7,200 writes per second, while the old architecture's per-repository push limit was dozens of times per second. Jay Parikh, Executive Vice President of Microsoft CoreAI, said that this year it has expanded by 4 million CPU cores, 160PB of storage, and 50Tb/s of network bandwidth, and that all users will migrate to the new architecture by early next year.